no code implementations • 17 May 2024 • Mingxiang Fu, Yu Song, Jiameng Lv, Liang Cao, Peng Jia, Nan Li, Xiangru Li, Jifeng Liu, A-Li Luo, Bo Qiu, Shiyin Shen, Liangping Tu, Lili Wang, Shoulin Wei, Haifeng Yang, Zhenping Yi, Zhiqiang Zou
Hence, as an example to present how to overcome the issue, we built a framework for general analysis of galaxy images, based on a large vision model (LVM) plus downstream tasks (DST), including galaxy morphological classification, image restoration, object detection, parameter extraction, and more.
no code implementations • 9 May 2024 • Bhawesh Kumar, Jonathan Amar, Eric Yang, Nan Li, Yugang Jia
Large Language Models (LLMs) have demonstrated their efficacy across a broad spectrum of tasks in healthcare applications.
no code implementations • 8 May 2024 • Chaozhe R. He, Nan Li
More importantly, we show that the proposed design can predict and react to neighbor vehicles' cut-in behaviors properly, leading to improved energy efficiency in cut-in scenarios compared to baseline designs that consider preceding vehicles only.
no code implementations • 2 Apr 2024 • Xu Li, Ruiqi Sun, Jiameng Lv, Peng Jia, Nan Li, Chengliang Wei, Zou Hu, Xinzhong Er, Yun Chen, Zhang Ban, Yuedong Fang, Qi Guo, Dezi Liu, Guoliang Li, Lin Lin, Ming Li, Ran Li, Xiaobo Li, Yu Luo, Xianmin Meng, Jundan Nie, Zhaoxiang Qi, Yisheng Qiu, Li Shao, Hao Tian, Lei Wang, Wei Wang, Jingtian Xian, Youhua Xu, Tianmeng Zhang, Xin Zhang, Zhimin Zhou
To overcome these challenges, we have developed a framework based on a hierarchical visual Transformer with a sliding window technique to search for strong lensing systems within entire images.
no code implementations • 28 Mar 2024 • Muzi Chen, Nan Li, Lifen Zheng, Difang Huang, Boyao Wu
First, compared with tranquil periods, the SSE A-shares network experiences a more significant small-world and connective effect during the subprime mortgage crisis and the high leverage period in 2015.
no code implementations • 9 Mar 2024 • Qu Yang, Qianhui Liu, Nan Li, Meng Ge, Zeyang Song, Haizhou Li
Spiking Neural Networks (SNNs) are known to be biologically plausible and power-efficient.
no code implementations • 19 Jan 2024 • Nan Li, Alexandros Iosifidis, Qi Zhang
To effectively trade-off communication, computation, and inference accuracy, we design a reward function and formulate the offloading problem of CNN inference as a maximization problem with the goal of maximizing the average inference accuracy and throughput over the long term.
1 code implementation • 4 Jan 2024 • Jiahui Peng, Jing Gao, Xin Tong, Jing Guo, Hang Yang, Jianchuan Qi, Ruiqiao Li, Nan Li, Ming Xu
In the evolving field of corporate sustainability, analyzing unstructured Environmental, Social, and Governance (ESG) reports is a complex challenge due to their varied formats and intricate content.
no code implementations • 22 Dec 2023 • Jing Guo, Nan Li, Jianchuan Qi, Hang Yang, Ruiqiao Li, Yuzhen Feng, Si Zhang, Ming Xu
The limitations of traditional LLM memory designs are analyzed, including their isolation of distinct dialog episodes and lack of persistent memory links.
no code implementations • 10 Dec 2023 • Nan Li, Ehsan Taheri, Ilya Kolmanovsky, Dimitar Filev
In this paper, we develop a computationally-efficient approach to minimum-time trajectory optimization using input-output data-based models, to produce an end-to-end data-to-control solution to time-optimal planning/control of dynamic systems and hence facilitate their autonomous operation.
1 code implementation • 4 Dec 2023 • Haoyu Jiang, Haiyang Yu, Nan Li, Ping Yi
We then pre-train a generative self-supervised graph autoencoder (GAE) to better learn the features of benign models in order to detect backdoor models without knowing the attack strategy.
no code implementations • 12 Nov 2023 • Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu
This paper proposes the User Viewing Flow Modeling (SINGLE) method for the article recommendation task, which models the user constant preference and instant interest from user-clicked articles.
1 code implementation • 8 Nov 2023 • Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie
In settings such as e-recruitment and online dating, recommendation involves distributing limited opportunities, calling for novel approaches to quantify and enforce fairness.
no code implementations • 31 Oct 2023 • Peng Jia, Jiameng Lv, Runyu Ning, Yu Song, Nan Li, Kaifan Ji, Chenzhou Cui, Shanshan Li
Large-scale astronomical surveys can capture numerous images of celestial objects, including galaxies and nebulae.
no code implementations • 9 Oct 2023 • Saeid Tafazzol, Nan Li, Ilya Kolmanovsky, Dimitar Filev
The second part of this paper introduces these models and their corresponding control design methods.
1 code implementation • 18 Sep 2023 • Nan Li, Bo Kang, Tijl De Bie
Automated occupation extraction and standardization from free-text job postings and resumes are crucial for applications like job recommendation and labor market policy formation.
no code implementations • 12 Sep 2023 • Zhiqing Zhang, Guojia Fan, Tianyong Liu, Nan Li, Yuyang Liu, Ziyu Liu, Canwei Dong, Shoujun Zhou
Furthermore, to capture specific anatomical a priori information in medical images, we incorporate a shape a priori module.
no code implementations • 3 Sep 2023 • Haoxuan Zhang, Haisheng Li, Nan Li, Xiaochuan Wang
MQENet treats the mesh evaluation task as a graph classification task for classifying the quality of the input structured mesh.
no code implementations • 22 May 2023 • Nan Li, Mehdi Bennis, Alexandros Iosifidis, Qi Zhang
This paper studies the computational offloading of video action recognition in edge computing.
no code implementations • 18 May 2023 • Yanjie Fu, Meng Ge, Honglong Wang, Nan Li, Haoran Yin, Longbiao Wang, Gaoyan Zhang, Jianwu Dang, Chengyun Deng, Fei Wang
Recently, stunning improvements on multi-channel speech separation have been achieved by neural beamformers when direction information is available.
1 code implementation • 17 Apr 2023 • Nan Li, Bo Kang, Tijl De Bie
We present SkillGPT, a tool for skill extraction and standardization (SES) from free-style job descriptions and user profiles with an open-source Large Language Model (LLM) as backbone.
no code implementations • 7 Apr 2023 • Yutong Li, Nan Li, Anouck Girard, Ilya Kolmanovsky
Dosage schedule of the Proton Pump Inhibitors (PPIs) is critical for gastric acid disorder treatment.
1 code implementation • 30 Jan 2023 • Xuan Xia, Weijie Lv, Xing He, Nan Li, Chuanqi Liu, Ning Ding
Moreover, we designed a backbone knowledge distillation structure to extract prior knowledge contained in normal samples.
no code implementations • CVPR 2023 • Tao Wang, Nan Li
With such a conditional design, the detection model is bridged by the semantic embedding to offer strongly generalizable class-wise box and mask prediction.
no code implementations • 1 Dec 2022 • Haosu Zhou, Nan Li
The IAISM, which is based on a Mask-Res-SE-U-Net architecture, is trained to predict the full thinning field of the as-formed component given an arbitrary blank shape.
no code implementations • 24 Nov 2022 • Andrea Cavagna, Nan Li, Alexandros Iosifidis, Qi Zhang
The proposed Edge Intelligence framework consists of the proposed effectiveness encoding and effectiveness decoding.
no code implementations • 24 Nov 2022 • Nan Li, Alexandros Iosifidis, Qi Zhang
We design a feature compression module based on the channel attention method in CNN, to compress the intermediate data by selecting the most important features.
no code implementations • 24 Nov 2022 • Zhongtian Dong, Nan Li, Alexandros Iosifidis, Qi Zhang
It is shown that the model selection with distributed inference HALP can significantly improve service reliability compared to the conventional stand-alone computation.
no code implementations • 22 Nov 2022 • Nan Li, Yutong Li, Ilya Kolmanovsky, Anouck Girard, H. Eric Tseng, Dimitar Filev
This paper introduces the Generalized Action Governor, which is a supervisory scheme for augmenting a nominal closed-loop system with the capability of strictly handling constraints.
no code implementations • 11 Nov 2022 • Peng Jia, Ruiqi Sun, Nan Li, Yu Song, Runyu Ning, Hongyan Wei, Rui Luo
We embed prior information of strongly lensed arcs at cluster-scale into the training data through simulation and then train the detection algorithm with simulated images.
no code implementations • 24 Oct 2022 • Nan Li, Alexandros Iosifidis, Qi Zhang
To solve the maximization problem, we propose a graph reinforcement learning-based early-exit mechanism (GRLE), which outperforms the state-of-the-art work, deep reinforcement learning-based online offloading (DROO) and its enhanced method, DROO with early-exit mechanism (DROOE), under different dynamic scenarios.
no code implementations • 11 Oct 2022 • Xiaohui Liu, Meng Liu, Lin Zhang, Linjuan Zhang, Chang Zeng, Kai Li, Nan Li, Kong Aik Lee, Longbiao Wang, Jianwu Dang
The Audio Deep Synthesis Detection (ADD) Challenge has been held to detect generated human-like speech.
no code implementations • 8 Oct 2022 • Yong He, Cheng Wang, Shun Zhang, Nan Li, Zhaorong Li, Zhenyu Zeng
Herein, we develop a new model called KG-MTT-BERT (Knowledge Graph Enhanced Multi-Type Text BERT) by extending the BERT model for long and multi-type text with the integration of the medical knowledge graph.
no code implementations • 12 Sep 2022 • Yoosof Mashayekhi, Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie
The recommendations are generated based on the suitability of the job seekers for the positions as well as the job seekers' and the recruiters' preferences.
no code implementations • 23 Aug 2022 • Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin
Specifically, we firstly illuminate EDL from machine learning and EC and regard EDL as an optimization problem.
no code implementations • 22 Jul 2022 • Nan Li, Alexandros Iosifidis, Qi Zhang
This paper studies inference acceleration using distributed convolutional neural networks (CNNs) in collaborative edge computing.
no code implementations • 22 Jul 2022 • Nan Li, Alexandros Iosifidis, Qi Zhang
To reduce the computation time and communication overhead, we propose a novel collaborative edge computing using fused-layer parallelization to partition a CNN model into multiple blocks of convolutional layers.
no code implementations • 17 Jul 2022 • Yutong Li, Nan Li, H. Eric Tseng, Anouck Girard, Dimitar Filev, Ilya Kolmanovsky
The action governor is an add-on scheme to a nominal control loop that monitors and adjusts the control actions to enforce safety specifications expressed as pointwise-in-time state and control constraints.
no code implementations • 19 May 2022 • Yang Han, Zhiqiang Zou, Nan Li, Yanli Chen
For comparison, we construct three methods, which are built upon the k-nearest neighbors (KNN), Convolutional Auto-Encoder (CAE)+ KNN, and CAE + KNN + Attention Mechanism (attCAE KNN) separately.
no code implementations • ICLR 2022 • Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen
In this work, we propose a query-based framework that trains a query neural network to generate informative input-output examples automatically and interactively from a large query space.
no code implementations • 13 Apr 2022 • Nan Li, Wei Feng, Qian Zhang
Active camera relocalization (ACR) is a new problem in computer vision that significantly reduces the false alarm caused by image distortions due to camera pose misalignment in fine-grained change detection (FGCD).
no code implementations • 13 Feb 2022 • Tianli Liao, Nan Li
Then, we draw a triangulation of the target image and estimate multiple local homographies, one per triangle, based on the locations of their vertices, the rectified depth values and the epipolar geometry.
no code implementations • 4 Feb 2022 • Hamid Reza Attar, Alistair Foster, Nan Li
Manufacturing constraints are imposed based on these distributions and are used to formulate a novel objective function for optimisation.
no code implementations • 20 Dec 2021 • Kaixiang Zhang, Zhaojian Li, Yongqiang Wang, Nan Li
We show that the proposed privacy scheme does not affect the MPC performance and it preserves the privacy of the plant such that the eavesdropper is unable to identify the actual value or even estimate a rough range of the private state and input signals.
no code implementations • 14 Dec 2021 • Kaiwen Liu, Nan Li, H. Eric Tseng, Ilya Kolmanovsky, Anouck Girard
Merging is, in general, a challenging task for both human drivers and autonomous vehicles, especially in dense traffic, because the merging vehicle typically needs to interact with other vehicles to identify or create a gap and safely merge into.
no code implementations • 14 Nov 2021 • Yongjun Yan, Nan Li, Jinlong Hong, Bingzhao Gao, Hong Chen, Jing Sun, Ziyou Song
However, the comprehensive comparison between different coasting strategies and online performance of the eco-coasting strategy using road grade preview are still unclear because of the oversimplification and the integer variable in the optimal control problems.
no code implementations • NeurIPS Workshop AI4Scien 2021 • Haosu Zhou, Hamid Reza Attar, Yue Pan, Xuetao Li, Peter R N Childs, Nan Li
The application of machine learning (ML) in scientific tasks is increasing, especially ML in simulation-driven engineering tasks.
no code implementations • 14 Sep 2021 • Lianbo Ma, Nan Li, Guo Yu, Xiaoyu Geng, Min Huang, Xingwei Wang
In the deployment of deep neural models, how to effectively and automatically find feasible deep models under diverse design objectives is fundamental.
no code implementations • 13 Sep 2021 • Won Park, Nan Li, Qi Alfred Chen, Z. Morley Mao
A critical aspect of autonomous vehicles (AVs) is the object detection stage, which is increasingly being performed with sensor fusion models: multimodal 3D object detection models which utilize both 2D RGB image data and 3D data from a LIDAR sensor as inputs.
no code implementations • 20 Jun 2021 • Nan Li, Kaixiang Zhang, Zhaojian Li, Vaibhav Srivastava, Xiang Yin
In this paper, we propose a novel cloud-assisted model predictive control (MPC) framework in which we systematically fuse a cloud MPC that uses a high-fidelity nonlinear model but is subject to communication delays with a local MPC that exploits simplified dynamics (due to limited computation) but has timely feedback.
no code implementations • 29 May 2021 • Fan Hu, Lei Wang, Yishen Hu, Dongqi Wang, Weijie Wang, Jianbing Jiang, Nan Li, Peng Yin
The identification of protein-ligand interaction plays a key role in biochemical research and drug discovery.
no code implementations • 26 Feb 2021 • Ying Wang, Xu Xu, Wenxia Zhao, Nan Li, Samuel A. McDonald, Yuan Chai, Michael Atkinson, Katherine J. Dobson, Stefan Michalik, Yingwei Fan, Philip J. Withers, Xiaorong Zhou, Timothy L. Burnett
The three-dimensional morphology of the crack and fibre fractures has been mapped by CT. During stable growth, matrix cracking dominates with the crack deflecting (by 50-100 $\mu$m in height) when bypassing bridging fibres.
Computed Tomography (CT) X-Ray Diffraction (XRD) Materials Science Applied Physics
no code implementations • 21 Feb 2021 • Yutong Li, Nan Li, H. Eric Tseng, Anouck Girard, Dimitar Filev, Ilya Kolmanovsky
Reinforcement Learning (RL) is essentially a trial-and-error learning procedure which may cause unsafe behavior during the exploration-and-exploitation process.
no code implementations • 4 Feb 2021 • Nan Li, Jiachuan Geng, Lianzhong Yang
In this paper, we study the transcendental entire solutions for the nonlinear differential-difference equations of the forms: $f^{2}(z)+\widetilde{\omega} f(z)f'(z)+q(z)e^{Q(z)}f(z+c)=u(z)e^{v(z)}$, and $f^{n}(z)+\omega f^{n-1}(z)f'(z)+q(z)e^{Q(z)}f(z+c)=p_{1}e^{\lambda_{1} z}+p_{2}e^{\lambda_{2} z}, \quad n\geq 3,$ where $\omega$ is a constant, $\widetilde{\omega}, c, \lambda_{1}, \lambda_{2}, p_{1}, p_{2}$ are non-zero constants, $q, Q, u, v$ are polynomials such that $Q, v$ are not constants and $q, u\not\equiv0$.
Complex Variables Primary 30D35, Secondary 39B32
no code implementations • 22 Jan 2021 • Kaiwen Liu, Nan Li, Ilya Kolmanovsky, Denise Rizzo, Anouck Girard
This paper proposes a learning reference governor (LRG) approach to enforce state and control constraints in systems for which an accurate model is unavailable, and this approach enables the reference governor to gradually improve command tracking performance through learning while enforcing the constraints during learning and after learning is completed.
no code implementations • 30 Sep 2020 • Haosu Zhou, Qingfeng Xu, Nan Li
It is demonstrated that the IBMLM model is advantageous over the MLP SBMLM model in accuracy, generalizability, robustness, and informativeness.
no code implementations • 2 Jun 2020 • Yifei Zhao, Yu-Hang Zhou, Mingdong Ou, Huan Xu, Nan Li
To maximize cumulative user engagement (e. g. cumulative clicks) in sequential recommendation, it is often needed to tradeoff two potentially conflicting objectives, that is, pursuing higher immediate user engagement (e. g., click-through rate) and encouraging user browsing (i. e., more items exposured).
no code implementations • 7 Apr 2020 • Shuo Tian, Lianhua Qu, Kai Hu, Nan Li, Lei Wang, Weixia Xu
By exploring the design space in network architectures and parameters, recent works have demonstrated great potential for improving the accuracy of LSM model with low complexity.
no code implementations • 5 Apr 2020 • Qi Song, Qianyi Jiang, Nan Li, Rui Zhang, Xiaolin Wei
In this paper, we elaborately design a Rectified Attentional Double Supervised Network (ReADS) for general scene text recognition.
no code implementations • 20 Dec 2019 • Xi Liu, Rui Zhang, Yongsheng Zhou, Qianyi Jiang, Qi Song, Nan Li, Kai Zhou, Lei Wang, Dong Wang, Minghui Liao, Mingkun Yang, Xiang Bai, Baoguang Shi, Dimosthenis Karatzas, Shijian Lu, C. V. Jawahar
21 teams submit results for Task 1, 23 teams submit results for Task 2, 24 teams submit results for Task 3, and 13 teams submit results for Task 4.
no code implementations • 11 Nov 2019 • Ting-Yun Cheng, Nan Li, Christopher J. Conselice, Alfonso Aragón-Salamanca, Simon Dye, Robert B. Metcalf
Our method successfully picks up $\sim$63\ percent of lensing images from all lenses in the training set.
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
no code implementations • 10 Nov 2019 • Sandeep Madireddy, Nesar Ramachandra, Nan Li, James Butler, Prasanna Balaprakash, Salman Habib, Katrin Heitmann, The LSST Dark Energy Science Collaboration
Upcoming large astronomical surveys are expected to capture an unprecedented number of strong gravitational lensing systems.
no code implementations • 16 Oct 2019 • Ran Tian, Nan Li, Ilya Kolmanovsky, Yildiray Yildiz, Anouck Girard
For a foreseeable future, autonomous vehicles (AVs) will operate in traffic together with human-driven vehicles.
Robotics Systems and Control Systems and Control
no code implementations • 27 Sep 2019 • Ran Tian, Nan Li, Ilya Kolmanovsky, Anouck Girard
It is a long-standing goal of artificial intelligence (AI) to be superior to human beings in decision making.
no code implementations • 16 Sep 2019 • Zeyu Zhu, Nan Li, Ruoyu Sun, Huijing Zhao, Donghao Xu
Different cost functions of traversability analysis are learned and tested at various scenes of capability in guiding the trajectory planning of different behaviors.
2 code implementations • CVPR 2020 • Bo Chen, Alvaro Parra, Jiewei Cao, Nan Li, Tat-Jun Chin
To seamlessly combine deep learning and geometric vision, it is vital to perform learning and geometric optimization end-to-end.
Ranked #1 on 6D Pose Estimation using RGB on LineMOD (Accuracy metric)
no code implementations • 12 Aug 2019 • Sisi Li, Nan Li, Anouck Girard, Ilya Kolmanovsky
In this paper, we describe an integrated framework for autonomous decision making in a dynamic and interactive environment.
no code implementations • 1 Oct 2018 • Ran Tian, Sisi Li, Nan Li, Ilya Kolmanovsky, Anouck Girard, Yildiray Yildiz
In this paper, we propose a decision making algorithm for autonomous vehicle control at a roundabout intersection.
no code implementations • 18 Jul 2018 • Yuan Liu, Yuancheng Wang, Nan Li, Xu Cheng, Yifeng Zhang, Yongming Huang, Guojun Lu
We propose an attention-based approach to give a discrimination between texture areas and smooth areas.
no code implementations • 8 May 2018 • Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin
In each round, the player selects a $K$-cardinality subset from $N$ candidate items, and receives a reward which is governed by a {\it multinomial logit} (MNL) choice model considering both item utility and substitution property among items.
no code implementations • 22 Apr 2018 • Yi Fan, Nan Li, Chengqian Li, Zongjie Ma, Longin Jan Latecki, Kaile Su
Our new restart strategy is based on the re-occurrence of a local search scenario instead of that of a candidate solution.
no code implementations • 20 Apr 2018 • Jing Chen, Nan Li, Tianli Liao
The seam-driven approach has been proven fairly effective for parallax-tolerant image stitching, whose strategy is to search for an invisible seam from finite representative hypotheses of local alignment.
1 code implementation • 13 Feb 2018 • Tianli Liao, Nan Li
Results of image stitching can be perceptually divided into single-perspective and multiple-perspective.
no code implementations • 15 Jan 2018 • Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha
Learning a classifier with control on the false-positive rate plays a critical role in many machine learning applications.
no code implementations • 15 Dec 2017 • Tobias G. Tiecke, Xian-Ming Liu, Amy Zhang, Andreas Gros, Nan Li, Gregory Yetman, Talip Kilic, Siobhan Murray, Brian Blankespoor, Espen B. Prydz, Hai-Anh H. Dang
Obtaining high accuracy in estimation of population distribution in rural areas remains a very challenging task due to the simultaneous requirements of sufficient sensitivity and resolution to detect very sparse populations through remote sensing as well as reliable performance at a global scale.
no code implementations • 24 May 2017 • Yang Yu, Wei-Yang Qu, Nan Li, Zimin Guo
ASG generates positive and negative samples of seen categories in the unsupervised manner via an adversarial learning strategy.
1 code implementation • 8 Mar 2017 • Francois Lanusse, Quanbin Ma, Nan Li, Thomas E. Collett, Chun-Liang Li, Siamak Ravanbakhsh, Rachel Mandelbaum, Barnabas Poczos
We find on our simulated data set that for a rejection rate of non-lenses of 99%, a completeness of 90% can be achieved for lenses with Einstein radii larger than 1. 4" and S/N larger than 20 on individual $g$-band LSST exposures.
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
no code implementations • 27 Jan 2017 • Nan Li, Yifang Xu, Chao Wang
The naturalness of warps is gaining extensive attentions in image stitching.
no code implementations • 22 Jan 2017 • Nan Li, Tianli Liao, Chao Wang
In this paper, we propose a novel perception-based energy function in the seam-cutting framework, which considers the nonlinearity and the nonuniformity of human perception in energy minimization.
no code implementations • 30 Aug 2016 • Nan Li, Dave Oyler, Mengxuan Zhang, Yildiray Yildiz, Ilya Kolmanovsky, Anouck Girard
Traffic simulators where these interactions can be modeled and represented with reasonable fidelity can help decrease the time and effort necessary for the development of the autonomous driving control algorithms by providing a venue where acceptable initial control calibrations can be achieved quickly and safely before actual road tests.
no code implementations • 20 Oct 2015 • Li-Ping Liu, Thomas G. Dietterich, Nan Li, Zhi-Hua Zhou
This paper introduces a new approach, Transductive Top K (TTK), that seeks to minimize the hinge loss over all training instances under the constraint that exactly $k$ test instances are predicted as positive.
no code implementations • NeurIPS 2014 • Nan Li, Rong Jin, Zhi-Hua Zhou
Recent efforts of bipartite ranking are focused on optimizing ranking accuracy at the top of the ranked list.
no code implementations • WS 2014 • Tanmay Sinha, Nan Li, Patrick Jermann, Pierre Dillenbourg
This work is an attempt to discover hidden structural configurations in learning activity sequences of students in Massive Open Online Courses (MOOCs).
no code implementations • WS 2014 • Tanmay Sinha, Patrick Jermann, Nan Li, Pierre Dillenbourg
In this work, we explore video lecture interaction in Massive Open Online Courses (MOOCs), which is central to student learning experience on these educational platforms.
2 code implementations • 9 Aug 2013 • Binghang Liu, Yujian Shi, Jianying Yuan, Xuesong Hu, Hao Zhang, Nan Li, Zhenyu Li, Yanxiang Chen, Desheng Mu, Wei Fan
Therefore, it is necessary to develop efficient assembly-independent methods for accurate estimation of these genomic characteristics.
no code implementations • NeurIPS 2012 • Nan Li, Longin J. Latecki
Since the clusters of each input clustering form a partition of the dataset, the vertices corresponding to each clustering form a maximal independent set (MIS) in the attributed graph.